Lead Agentic AI Systems for Production Trading

InCommodities; Austin (TX); On-site; USD 160,000 - 210,000; Full time

Job summary

InCommodities North America is seeking a senior software leader to direct the engineering of production AI systems that transform market ideas into executable trading strategies.

You will oversee cross‑functional teams, align design decisions with traders and quants, and ensure safe, reliable operation of AI-powered infrastructure. The role emphasizes hands‑on technical leadership, architectural breadth, and guiding the next phase of AI-enabled trading at scale.

Qualifications

• 5-8 years of hands-on software development experience.
• Bachelor’s degree in Computer Science or a related field.
• Led the technical work of a team, with or without the title.
• Built agentic AI systems that run in production with reliable outputs.
• Experience in AI agents producing real work under engineered constraints.
• Proficient in multiple languages and systems, e.g., Python and .NET.
• Fluent in English, written and spoken.

Responsibilities

• Lead projects across the agentic platform, collaborating with engineers building it.
• Set direction for the team: design decisions, delegation, unblocking, maintaining momentum.
• Shape agent and tooling patterns, evaluation and guardrail standards, and the roadmap.
• Present decisions to engineers and traders who use the outputs.
• Stay hands-on, designing and building production-grade agentic AI systems.
• Assist hiring as the team grows this year.
• Collaborate with traders, quants, and engineers to shorten the cycle from idea to validated strategy.

Skills

Python

C#/.NET

Distributed Systems

AI/ML

Education

Bachelor's degree in Computer Science or related field

Job description

InCommodities North America is seeking a senior software leader to direct the engineering of production AI systems that transform market ideas into executable trading strategies.

You will oversee cross‑functional teams, align design decisions with traders and quants, and ensure safe, reliable operation of AI-powered infrastructure. The role emphasizes hands‑on technical leadership, architectural breadth, and guiding the next phase of AI-enabled trading at scale.